PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?street ?person ?womenWritersID ?streetLabel ?personLabel WHERE {
  ?street wdt:P31 wd:Q79007 .
  ?street wdt:P138 ?person .
  ?person wdt:P31 wd:Q5 .
  ?person wdt:P21 wd:Q6581072 .
  ?person wdt:P2533 ?womenWritersID .
  OPTIONAL {
    ?street rdfs:label ?streetLabel FILTER ( LANG( ?streetLabel ) = "en" )
  }
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}
ORDER BY ?street

Got 2,304 rows and 5 columns, showing the first 5 and last 5 rows below:
| street                                    | person                                  | womenWritersID                       | streetLabel                    | personLabel                      |
| ----------------------------------------- | --------------------------------------- | ------------------------------------ | ------------------------------ | -------------------------------- |
| Böhlaustraße (wd:Q100062379)              | Helene Böhlau (wd:Q78239)               | d47b64ae-fe38-47d1-9946-387139437225 | Böhlaustraße (en)              | Helene Böhlau (en)               |
| Droste-Hülshoff-Weg (wd:Q100080515)       | Annette von Droste-Hülshoff (wd:Q57307) | c1853a43-2c6f-4302-8870-3a053fc14960 | Droste-Hülshoff-Weg (en)       | Annette von Droste-Hülshoff (en) |
| Rahel-Varnhagen-Promenade (wd:Q100157371) | Rahel Varnhagen (wd:Q61793)             | dd793335-0862-4573-8516-35356db8394a | Rahel-Varnhagen-Promenade (en) | Rahel Varnhagen (en)             |
| Bertha-von-Suttner-Straße (wd:Q100349353) | Bertha von Suttner (wd:Q18456)          | f537c0d5-2933-46d2-8f0c-1ab20cc449aa | Bertha-von-Suttner-Straße (en) | Bertha von Suttner (en)          |
| Bertha-von-Suttner-Straße (wd:Q100349353) | Bertha von Suttner (wd:Q18456)          | fab0abc8-0135-4dd1-91f4-0424e78724f4 | Bertha-von-Suttner-Straße (en) | Bertha von Suttner (en)          |
| ...                                       | ...                                     | ...                                  | ...                            | ...                              |
| Louise-Otto-Peters-Platz (wd:Q99738483)   | Louise Otto-Peters (wd:Q71507)          | 50c125d7-e96f-4391-a406-3c93eb0fa4eb | Louise-Otto-Peters-Platz (en)  | Louise Otto-Peters (en)          |
| Neuberinstraße (wd:Q99738708)             | Friederike Caroline Neuber (wd:Q68316)  | 796b747f-2ea4-411c-9d37-c852ff00b356 | Neuberinstraße (en)            | Friederike Caroline Neuber (en)  |
| Anne-Frank-Weg (wd:Q99740908)             | Anne Frank (wd:Q4583)                   | 9205db85-4f1b-4623-be01-fc2240d7533f | Anne-Frank-Weg (en)            | Anne Frank (en)                  |
| Anne-Frank-Straße (wd:Q99772065)          | Anne Frank (wd:Q4583)                   | 9205db85-4f1b-4623-be01-fc2240d7533f | Anne-Frank-Straße (en)         | Anne Frank (en)                  |
| Anne-Frank-Straße (wd:Q99774778)          | Anne Frank (wd:Q4583)                   | 9205db85-4f1b-4623-be01-fc2240d7533f | Anne-Frank-Straße (en)         | Anne Frank (en)                  |

I ran the query above on Wikidata. It returns the street IRI, the person IRI (the namesake), and the Women Writers database ID (P2533) for each street that is an instance of street (wd:Q79007) and is named after a female human who has a Women Writers ID. The query returned 2,304 rows. If you want the results as a table (CSV/JSON) or a smaller sample, tell me which format or how many rows to show.

What are the streets named after female individuals who have an identifier in the Women Writers database? For each street, return also its the Women Writers database ID.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the streets named after female individuals who have an identifier in the Women Writers database? For each street, return also its the Women Writers database ID.

[Assistant] I will search Wikidata for the property that corresponds to the "Women Writers" database identifier, then find streets that are named after female individuals who have that identifier. I'll first search for the property.

[Tool]
Top 10 property alternatives:
1. WomenWriters ID, also known as NEWW Women Writers ID (wd:P2533 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier in the Women Writers database of the Huygens Institute for Dutch History
2. Database of Canada's Early Women Writers ID, also known as Canada's Early Women Writers ID, CEWW ID, DoCEWW ID (wd:P13239 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for an entry in the Database of Canada's Early Women Writers
3. Collective Biographies of Women ID, also known as Collective Biographies of Women - person ID (wd:P4539 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a person, in the Collective Biographies of Women database
4. AWARE ID, also known as Archives of Women Artists, Research and Exhibitions ID (wd:P6637 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a female artist on the Archives of Women Artists, Research and Exhibitions
5. Catalan Biographical Dictionary of Women ID, also known as Biographical Dictionary of Women (Catalan ) ID, Diccionari Biogràfic de Dones (wd:P2498 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier in the biographical dictionary of Catalan women
6. The Literary Encyclopedia person ID, also known as TLE person ID, The Literary Encyclopedia person identifier, Literary Encyclopedia person identifier, Literary Encyclopedia person ID, Literary Encyclopedia author ID (wd:P11870 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for an author in The Literary Encyclopedia
7. Internet Book Database of Fiction writer ID (wd:P5365 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a writer on the Internet Book Database of Fiction website
8. Encyclopedia of Jewish Women ID, also known as Jewish Women's Archive ID (wd:P9430 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a woman in the Encyclopedia of Jewish Women
9. GRID ID, also known as grid research id, grid global research id, grid global id, Global Research Identifier Database identifier (wd:P2427 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): institutional identifier from the GRID.ac global research identifier database
10. Dictionnaire des femmes de l’ancienne France ID, also known as SiefarWiki, SiefarWikiEn (wd:P7962 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for an article in the Dictionnaire des Femmes de l'ancienne France

[Assistant] I'll search for the Wikidata item for "street" to use as the instance class.

[Tool]
Top 10 entity alternatives:
1. road, street (wd:L1359265-S1)
2. Cannon Street Road (wd:Q123150375): Street in the London Borough of Tower Hamlets, instance of street
3. Rode Street House, also known as Road Street House (wd:Q17551910): Grade II* listed house in Tarporley, Cheshire, England, UK, instance of house
4. Venn road street (wd:Q125627224): a street in onitsha, instance of street
5. road or street (wd:Q123414165)
6. street, road, lane (wd:L1329026-S1)
7. paved road or street (wd:Q3898334)
8. Fort Road Food Street (wd:Q5471932): instance of road
9. Hunan Road Commercial Street (wd:Q5942020): street in Nanjing, China, instance of thoroughfare
10. Cannon Street Road railway station, also known as Cannon Street Road Station (wd:Q5032789): railway station in Tower Hamlets, London, England, UK, instance of railway station

[Assistant] I'll search for the Wikidata item for "street" (as an instance class) to reliably match items that are streets or roads.

[Tool]
Top 10 entity alternatives:
1. Wikidata item, also known as use on items, WD item (wd:Q16222597)
2. Wikidata model item, also known as Mr, Wikidata showcase item, Showcase item (wd:Q57312861)
3. Wikidata Q identifier, also known as WDQID, WDQ identifier, Wikidata identifier, Wikidata item ID, Wikidata item identifier (wd:Q43649390)
4. ambiguous Wikidata item, also known as ambiguous entity, Wikidata conflated item, Wikidata ambiguous item, conflated Wikidata item, conflated item (wd:Q122754124)
5. Wikidata internal entity, also known as internal item, Wikidata project page, Wikidata page, Wikidata internal item, project page (wd:Q21281405)
6. fundamental Wikidata entity, also known as fundamental property of Wikidata, fundamental item of Wikidata, fundamental entity of Wikidata, fundamental entities of Wikidata (wd:Q115490628)
7. Wikidata item quality labels (wd:Q110628081): instance of data set
8. located on street, also known as road, square, street, street address, is on (wd:P669): street, road, or square, where the item is located. To add the n...perty P6375 "street address", if there is no item for the street, instance of Wikidata property to indicate a location, instance of Wikidata property encoding a vCard value, instance of Wikidata property related to transport
9. Wikidata item of this property, also known as item of this property, Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property (wd:P1629): instance of Wikidata property for documentation of properties, item corresponding to the concept represented by the property
10. mapped directly with Wikidata item (wd:Q115331822)

[Assistant] I'll search for items matching "street" to find an appropriate class (instance of) to filter streets.

[Tool]
Top 10 entity alternatives:
1. Corner of London Street, Hackwood Road (wd:Q119351237): painting by Diana Stanley (1909–1975), Basingstoke and Deane Borough Council, Civic Offices, instance of painting
2. deity of roads, also known as god of roads (streets), goddess of streets, god of roads, god of streets, goddess of roads (wd:Q111807241): narrative motif documented in Thompson's Motif-Index of Folk-Literature, instance of narrative motif, instance of folklore motif
3. Corner of Bywater Street with King's Road (wd:Q119343716): painting by Josephine de Vidaud (active 1966–1971), Chelsea Library, instance of painting
4. Junction of Bolton Road and Wardley Street (wd:Q119325432): painting by F. Ashton (active c.1960–1978), Salford Museum & Art Gallery, instance of painting
5. Roadside Walls On South Of Street (wd:Q26652313): wall in Acklington, Northumberland, England, UK, instance of wall
6. Corner of High Road and Joel Street, Eastcote (wd:Q119822503): painting by Marjorie Torr (b.1929), Hillingdon Local Studies, Archives and Museum Service, instance of painting
7. Junction of Saunders Road and Downham Street, Blackburn (wd:Q119339595): painting by Ian Thompson (1937–2018), Blackburn Museum and Art Gallery, instance of painting
8. Junction of Duke Street and Stanhope Road South (wd:Q120065295): painting by James Lindsey Bird (1903–1972), Central House, instance of painting
9. Milestone, Upper Sunbury Road, W of Percy Street (wd:Q111792030): milestone in Teddington And Hampton, Richmond Upon Thames, UK, instance of milestone
10. Milestone, Watling Street, 30m S of Station Road (wd:Q111791188): milestone in Aldenham, Hertsmere, UK, instance of milestone

[Assistant] I'll search specifically for the Wikidata item "street".

[Tool]
Top 10 entity alternatives:
1. street, also known as road, way, St, st. (wd:Q79007)
2. Teddy Riley, also known as The Finisher, Street, Swingbeat, Lil Man, Edward Theodore Riley (wd:Q927450): American musician, record producer, singer, and songwriter, instance of human, record producer, songwriter, musician, singer
3. Street, also known as Street, Somerset (wd:Q1249656): large village and civil parish in the county of Somerset, England, instance of civil parish, instance of village
4. 16017 Street, also known as (16017) Street, Street (wd:Q1085499): instance of asteroid, asteroid
5. Street (wd:Q2355321): instance of impact crater, lunar impact crater
6. Street (wd:Q24286874): instance of album, album by EXID
7. Street, also known as Street, County Westmeath, Streete, County Westmeath, Streete (wd:Q384100): village in County Westmeath, Ireland, instance of human settlement
8. Street (wd:Q3500233): album by Nina Hagen, instance of album
9. Street, also known as Street, Devon (wd:Q7622764): village in Devon, United Kingdom, instance of village
10. The Street, also known as Street (wd:Q48674208): 1958 film directed by Hermann Kugelstadt, instance of film

[Assistant] I'll search for the Wikidata item for 'female' (sex or gender) to use as a filter.

[Tool]
Top 10 entity alternatives:
1. Wikidata item, also known as use on items, WD item (wd:Q16222597)
2. Wikidata model item, also known as Mr, Wikidata showcase item, Showcase item (wd:Q57312861)
3. Wikidata Q identifier, also known as WDQID, WDQ identifier, Wikidata identifier, Wikidata item ID, Wikidata item identifier (wd:Q43649390)
4. ambiguous Wikidata item, also known as ambiguous entity, Wikidata conflated item, Wikidata ambiguous item, conflated Wikidata item, conflated item (wd:Q122754124)
5. Wikidata internal entity, also known as internal item, Wikidata project page, Wikidata page, Wikidata internal item, project page (wd:Q21281405)
6. fundamental Wikidata entity, also known as fundamental property of Wikidata, fundamental item of Wikidata, fundamental entity of Wikidata, fundamental entities of Wikidata (wd:Q115490628)
7. Wikidata item quality labels (wd:Q110628081): instance of data set
8. Wikidata item of this property, also known as item of this property, Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property (wd:P1629): instance of Wikidata property for documentation of properties, item corresponding to the concept represented by the property
9. mapped directly with Wikidata item (wd:Q115331822)
10. Wikidata property to describe media items, also known as Wikidata property for items about media, Wikidata property for media items, Wikidata property for Commons media, media property (wd:Q28464773)

[Assistant] I will verify the property P138 ("named after"), the property P2533 (WomenWriters ID), and the items for "street" (Q79007) and "female" (Q6581072). I'll search for each to confirm identifiers before building the main query.

[Tool]
Top 10 property alternatives:
1. uses property, also known as property used, property Wikidata used, selfie property, discusses property, discusses Wikidata property (wd:P3176 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): Wikidata property used, discussed, or otherwise analyzed in this work (not the meaning of the property itself), subproperty of uses
2. characteristic of, also known as quality of, property of, of, inheres in (wd:P13044 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): (qualifier only) statement value is a characteristic, quality, property, or state of this qualifier value
3. applicable 'stated in' value, also known as applicable database, stated in value, 'stated in' value, stated in database, corresponding P248 value (wd:P9073 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): value suitable for "stated in" (P248) when property is used in r...rimary publication/website/database associated with the property
4. Unique Property Reference Number, also known as USRN, UPRN, Property Reference Number, UK Property Reference Number (wd:P8399 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): unique identifier for every location that can have an address in the UK
5. properties for this type, also known as has property, properties for this class, property for this class, property for this type, suggested properties for this instance (wd:P1963 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): when this subject is used as object of “instance of”, the following properties normally apply
6. has characteristic, also known as trait, has quality, inherent property, object has characteristic, parameter (wd:P1552 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
7. Wikidata property, also known as has property, main property, property, property for this item (wd:P1687 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): main Wikidata property for this item
8. related property, also known as rdfs:seeAlso, related properties, see also, seealso (wd:P1659 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): used to indicate another property that might provide additional information about the subject
9. Wikidata item of this property, also known as Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property, subject item (wd:P1629 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): item corresponding to the concept represented by the property
10. Wikidata property example, also known as example of property, Wikidata property sample, property sample, property example, for example (wd:P1855 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value

[Tool]
Top 10 property alternatives:
1. named after, also known as named in honor of, toponym, namesake, name after, etymology (wd:P138 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one
2. theorized by, also known as posed by, supported by, suggested by, proposer, proposed by (wd:P8403 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): subject who suggested or proposed this concept or immaterial invention
3. named by, also known as coined by, namer (wd:P3938 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): person or organisation that coined the name; use as qualifier for P2561 and its subproperties
4. appointed by, also known as named by (wd:P748 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): who appointed the person to the office, can be used as a qualifier
5. patronym or matronym for this name, also known as matronym, parentonym for this name, parentonymic for this name, patronym (wd:P2976 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): patronym or matronym based on this given name
6. troponym of, also known as definition by troponym, troponym (wd:P5975 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): this verb describes more narrowly the action of the more general verb used as value, subproperty of hyperonym
7. nickname, also known as informal name, sobriquet, moniker, other name, othername (wd:P1449 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): informal name (for a pseudonym use P742), subproperty of name
8. applies to name of subject, also known as applies to subject's name, applies to name, for the name, involved name, limited to the name (wd:P5168 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): (qualifier) label or alias name to which the claim applies (subj...er to name of the value, use "applies to name of object" (P8338), subproperty of subject named as
9. object named as, also known as original wording, place name string, printed as, reference wording, [sic] (wd:P1932 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): use as qualifier to indicate how the object's value was given in the source, subproperty of name
10. subject named as, also known as established as, entity named as, established form, established heading, named as (wd:P1810 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): name by which a subject is recorded in a database, mentioned as a contributor of a work, or is referred to in a particular context, subproperty of name

[Assistant] I'll list triples using the property P2533 to see how it's used and confirm its label and usage.

[Tool]
Got 5,511 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                    | object                               |
| ------------------------------------- | --------------------------- | ------------------------------------ |
| William Shakespeare (wd:Q692)         | WomenWriters ID (wdt:P2533) | 74ea2ffd-545d-49a7-9295-99c1770dca5a |
| Leo Tolstoy (wd:Q7243)                | WomenWriters ID (wdt:P2533) | 6ebf9c05-fc6f-41f3-8cae-5f201a4165df |
| Johann Wolfgang von Goethe (wd:Q5879) | WomenWriters ID (wdt:P2533) | 77dc045e-cb0d-4764-9154-8eb573714e4f |
| Charles Darwin (wd:Q1035)             | WomenWriters ID (wdt:P2533) | 652a08bd-d899-4e3c-94f1-756eee01e99b |
| Dante Alighieri (wd:Q1067)            | WomenWriters ID (wdt:P2533) | 30232ca1-8672-4471-a53e-f8dda22ab238 |
| Vincent van Gogh (wd:Q5582)           | WomenWriters ID (wdt:P2533) | 46a90c46-9cfa-4cfc-8c3b-54342473e0fb |
| Victor Hugo (wd:Q535)                 | WomenWriters ID (wdt:P2533) | 728b782f-e333-494e-86e6-11d487e1fe0a |
| Michelangelo (wd:Q5592)               | WomenWriters ID (wdt:P2533) | cf4dfbea-70bd-4410-95da-be478a2833aa |
| Voltaire (wd:Q9068)                   | WomenWriters ID (wdt:P2533) | 7f837772-705b-4d7b-af60-223d497e4209 |
| Fyodor Dostoyevsky (wd:Q991)          | WomenWriters ID (wdt:P2533) | 6872dbc8-c305-44ed-89d0-4f592fe15fd4 |
| ...                                   | ...                         | ...                                  |

[Assistant] I'll verify the item for 'street' (Q79007) exists and inspect how streets are modelled (instance of). I'll list examples of items with instance of street to ensure coverage.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                | property              | object             |
| -------------------------------------- | --------------------- | ------------------ |
| Holíčska, Bratislava (wd:Q10002484)    | instance of (wdt:P31) | street (wd:Q79007) |
| Scrubs Lane (wd:Q100060717)            | instance of (wdt:P31) | street (wd:Q79007) |
| Bocksdorn (wd:Q100061923)              | instance of (wdt:P31) | street (wd:Q79007) |
| Böhlaustraße (wd:Q100062379)           | instance of (wdt:P31) | street (wd:Q79007) |
| Brucknerring (wd:Q100064775)           | instance of (wdt:P31) | street (wd:Q79007) |
| Buchenhain (wd:Q100065901)             | instance of (wdt:P31) | street (wd:Q79007) |
| Budapester Straße (wd:Q1000672)        | instance of (wdt:P31) | street (wd:Q79007) |
| Budapester Straße (wd:Q1000676)        | instance of (wdt:P31) | street (wd:Q79007) |
| Bürgermeister-Pott-Weg (wd:Q100069675) | instance of (wdt:P31) | street (wd:Q79007) |
| Bussardweg (wd:Q100070128)             | instance of (wdt:P31) | street (wd:Q79007) |
| ...                                    | ...                   | ...                |

[Assistant] I'll run a SPARQL query that finds items that are streets (instance of wd:Q79007), that are named after a person (?person) who is a human (wd:Q5), identified as female (wd:Q6581072 via P21), and who has a Women Writers database identifier (P2533). I will return the street IRI, the person IRI, and the Women Writers ID; I'll also optionally include English labels for readability. Now I'll execute the query.

[Tool]
Got 1,000 rows and 5 columns, showing the first 5 and last 5 rows below:
| street                                    | person                                  | womenWritersID                       | streetLabel                    | personLabel                      |
| ----------------------------------------- | --------------------------------------- | ------------------------------------ | ------------------------------ | -------------------------------- |
| Böhlaustraße (wd:Q100062379)              | Helene Böhlau (wd:Q78239)               | d47b64ae-fe38-47d1-9946-387139437225 | Böhlaustraße (en)              | Helene Böhlau (en)               |
| Droste-Hülshoff-Weg (wd:Q100080515)       | Annette von Droste-Hülshoff (wd:Q57307) | c1853a43-2c6f-4302-8870-3a053fc14960 | Droste-Hülshoff-Weg (en)       | Annette von Droste-Hülshoff (en) |
| Rahel-Varnhagen-Promenade (wd:Q100157371) | Rahel Varnhagen (wd:Q61793)             | dd793335-0862-4573-8516-35356db8394a | Rahel-Varnhagen-Promenade (en) | Rahel Varnhagen (en)             |
| Bertha-von-Suttner-Straße (wd:Q100349353) | Bertha von Suttner (wd:Q18456)          | f537c0d5-2933-46d2-8f0c-1ab20cc449aa | Bertha-von-Suttner-Straße (en) | Bertha von Suttner (en)          |
| Bertha-von-Suttner-Straße (wd:Q100349353) | Bertha von Suttner (wd:Q18456)          | fab0abc8-0135-4dd1-91f4-0424e78724f4 | Bertha-von-Suttner-Straße (en) | Bertha von Suttner (en)          |
| ...                                       | ...                                     | ...                                  | ...                            | ...                              |
| Etta Palmstraat (wd:Q19120940)            | Etta Palm (wd:Q459515)                  | 7bd163fe-5d76-410b-9f8f-7879510c7456 | Etta Palmstraat (en)           | Etta Palm (en)                   |
| Etta Palmstraat (wd:Q19120942)            | Etta Palm (wd:Q459515)                  | 7bd163fe-5d76-410b-9f8f-7879510c7456 | Etta Palmstraat (en)           | Etta Palm (en)                   |
| Etta Palmstraat (wd:Q19120944)            | Etta Palm (wd:Q459515)                  | 7bd163fe-5d76-410b-9f8f-7879510c7456 | Etta Palmstraat (en)           | Etta Palm (en)                   |
| George Sandstraat (wd:Q19125568)          | George Sand (wd:Q3816)                  | ed7ca3f3-073f-404e-aaa2-9fde53e8f494 | George Sandstraat (en)         | George Sand (en)                 |
| George Sandstraat (wd:Q19125586)          | George Sand (wd:Q3816)                  | ed7ca3f3-073f-404e-aaa2-9fde53e8f494 | George Sandstraat (en)         | George Sand (en)                 |

[Assistant] I'll run a final SPARQL query that finds all items that are instance of street (wd:Q79007), that are named after a person (?person) who is human (wd:Q5) and female (wd:Q6581072), and where that person has a WomenWriters ID (P2533). The query will return the street IRI, the person IRI, the WomenWriters ID, and optional English labels. I will not set a LIMIT so the endpoint returns all matches. Now I will execute this query.

[Tool]
Got 2,304 rows and 5 columns, showing the first 5 and last 5 rows below:
| street                                    | person                                  | womenWritersID                       | streetLabel                    | personLabel                      |
| ----------------------------------------- | --------------------------------------- | ------------------------------------ | ------------------------------ | -------------------------------- |
| Böhlaustraße (wd:Q100062379)              | Helene Böhlau (wd:Q78239)               | d47b64ae-fe38-47d1-9946-387139437225 | Böhlaustraße (en)              | Helene Böhlau (en)               |
| Droste-Hülshoff-Weg (wd:Q100080515)       | Annette von Droste-Hülshoff (wd:Q57307) | c1853a43-2c6f-4302-8870-3a053fc14960 | Droste-Hülshoff-Weg (en)       | Annette von Droste-Hülshoff (en) |
| Rahel-Varnhagen-Promenade (wd:Q100157371) | Rahel Varnhagen (wd:Q61793)             | dd793335-0862-4573-8516-35356db8394a | Rahel-Varnhagen-Promenade (en) | Rahel Varnhagen (en)             |
| Bertha-von-Suttner-Straße (wd:Q100349353) | Bertha von Suttner (wd:Q18456)          | f537c0d5-2933-46d2-8f0c-1ab20cc449aa | Bertha-von-Suttner-Straße (en) | Bertha von Suttner (en)          |
| Bertha-von-Suttner-Straße (wd:Q100349353) | Bertha von Suttner (wd:Q18456)          | fab0abc8-0135-4dd1-91f4-0424e78724f4 | Bertha-von-Suttner-Straße (en) | Bertha von Suttner (en)          |
| ...                                       | ...                                     | ...                                  | ...                            | ...                              |
| Louise-Otto-Peters-Platz (wd:Q99738483)   | Louise Otto-Peters (wd:Q71507)          | 50c125d7-e96f-4391-a406-3c93eb0fa4eb | Louise-Otto-Peters-Platz (en)  | Louise Otto-Peters (en)          |
| Neuberinstraße (wd:Q99738708)             | Friederike Caroline Neuber (wd:Q68316)  | 796b747f-2ea4-411c-9d37-c852ff00b356 | Neuberinstraße (en)            | Friederike Caroline Neuber (en)  |
| Anne-Frank-Weg (wd:Q99740908)             | Anne Frank (wd:Q4583)                   | 9205db85-4f1b-4623-be01-fc2240d7533f | Anne-Frank-Weg (en)            | Anne Frank (en)                  |
| Anne-Frank-Straße (wd:Q99772065)          | Anne Frank (wd:Q4583)                   | 9205db85-4f1b-4623-be01-fc2240d7533f | Anne-Frank-Straße (en)         | Anne Frank (en)                  |
| Anne-Frank-Straße (wd:Q99774778)          | Anne Frank (wd:Q4583)                   | 9205db85-4f1b-4623-be01-fc2240d7533f | Anne-Frank-Straße (en)         | Anne Frank (en)                  |

[Assistant] I will now provide the final SPARQL query and the result summary. The query finds items that are instance of street (wd:Q79007) and are named after a female human who has a Women Writers database identifier (P2533). It returns the street IRI, the person IRI, the Women Writers ID, and optional English labels. I executed this query and it returned 2,304 rows.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?president ?chosenName WHERE {
  ?president wdt:P39 wd:Q11696 .
  ?president wdt:P31 wd:Q5 .
  OPTIONAL {
    ?president wdt:P1448 ?officialName .
  }
  OPTIONAL {
    ?president wdt:P1477 ?birthName .
  }
  OPTIONAL {
    ?president wdt:P1559 ?nativeName .
  }
  OPTIONAL {
    ?president rdfs:label ?label FILTER ( LANG( ?label ) = "en" )
  }
  BIND( COALESCE ( ?officialName , ?birthName , ?nativeName , ?label ) AS ?chosenName )
}
ORDER BY ?president

Got 45 rows and 2 columns, showing the first 5 and last 5 rows below:
| president                       | chosenName                        |
| ------------------------------- | --------------------------------- |
| Bill Clinton (wd:Q1124)         | William Jefferson Blythe III (en) |
| Harry S. Truman (wd:Q11613)     | Harry S. Truman (en)              |
| John Adams (wd:Q11806)          | John Adams (en)                   |
| Thomas Jefferson (wd:Q11812)    | Thomas Jefferson (en)             |
| James Madison (wd:Q11813)       | James Madison, Jr. (en)           |
| ...                             | ...                               |
| Richard Nixon (wd:Q9588)        | Richard Milhous Nixon (en)        |
| Lyndon B. Johnson (wd:Q9640)    | Lyndon Baines Johnson (en)        |
| John F. Kennedy (wd:Q9696)      | John Fitzgerald Kennedy (mul)     |
| Dwight D. Eisenhower (wd:Q9916) | David Dwight Eisenhower (en)      |
| Ronald Reagan (wd:Q9960)        | Ronald Wilson Reagan (en)         |

I ran the query and retrieved 45 human individuals who held the office President of the United States. For each one the query returns a single name chosen in this preference order: official name (P1448), birth name (P1477), name in native language (P1559), with English rdfs:label as a fallback. The query returns pairs of the president item and the selected name; results include entries such as Bill Clinton — "William Jefferson Blythe III", John F. Kennedy — "John Fitzgerald Kennedy", Dwight D. Eisenhower — "David Dwight Eisenhower", Ronald Reagan — "Ronald Wilson Reagan", etc. The SPARQL query above is the final query used to obtain these results.

Who are the individuals who have held the position of President of the United States and thier names? For each president, the name should be derived from their official name, birth name, or name in their native language, in that order of preference (return only one name for each president).

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who are the individuals who have held the position of President of the United States and thier names? For each president, the name should be derived from their official name, birth name, or name in their native language, in that order of preference (return only one name for each president).

[Assistant] Step 1: I'll identify the entity for "President of the United States" and the relevant properties for names (official name, birth name, name in native language) and for the office (position held). I'll search the knowledge graph to confirm the correct entity and property identifiers. I'll start by searching for the entity "President of the United States".

[Tool]
Top 10 entity alternatives:
1. President of the United States, also known as president of United States, the president of the United States, President of USA, President of the USA, U.S. President (wd:Q11696): head of state and head of government of the United States of America, instance of commander-in-chief, instance of head of government, instance of elective office, instance of head of state, instance of president
2. cultural depictions of John F. Kennedy, also known as cultural depictions of John Fitzgerald Kennedy, President of the United States, cultural depictions of President Kennedy, cultural depictions of President John F. Kennedy, cultural depictions of JFK (wd:Q17512211): John F. Kennedy depicted in culture, instance of cultural depiction
3. President of the United States (wd:Q125680992): fictional position in the Grand Theft Auto video game series (HD), instance of fictional office, position, or title
4. Jimmy Carter, also known as James E. Carter, James Earl Carter, Jr., James E. Carter, Jr., James E. Carter Jr., James Carter (wd:Q23685): President of the United States from 1977 to 1981, human rights activist, instance of human, environmentalist, businessperson, peace activist, autobiographer, naval officer, humanitarian, statesperson, submariner, politician, diplomat, engineer, novelist, farmer, writer
5. 2024 United States presidential election, also known as 2024 U.S. presidential race, 60th United States presidential election, 47th President of the United States, Harris vs. Trump, Harris v. Trump (wd:Q101110072): instance of United States presidential election, 60th quadrennial U.S. presidential election
6. Vice President of the United States, also known as US Vice President, US VP, USVP, VP of the United States, VP of the US (wd:Q11699): second-highest constitutional office in the United States, instance of president of the senate, instance of elective office, instance of vice president
7. President of Mexico, also known as President of the United Mexican States (wd:Q628004)
8. Executive Office of the President of the United States, also known as EOP, White House, United States Executive Office of the President, The White House, Executive Office of the President (wd:Q1355327): U.S. federal government office of the president of the United States, instance of United States federal agency, instance of government agency
9. President-elect of the United States, also known as President-Elect (wd:Q1467287)
10. The Presidents of the United States of America, also known as PUSA, The Quitters, The Presidents of the United States, The Presidents, PotUSA (wd:Q176430): instance of musical group, American rock band

[Assistant] Next I'll search for the relevant properties: "official name", "birth name", and "native name" (name in native language), to find their property IDs in Wikidata. I'll start with "official name".

[Tool]
Top 10 property alternatives:
1. native label, also known as official name, original title, official title, original label, original language label (wd:P1705 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): label for the items in their official language  or their original language, subproperty of name
2. official name, also known as long name, long title, name, official title, registered name (wd:P1448 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): official name of the subject in its official language(s), subproperty of name
3. officialized by, also known as made official by, officialised by (wd:P5194 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the item which officialized this lexeme
4. short name, also known as short title, shortname, shortened name, initialism, brief name (wd:P1813 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., subproperty of name
5. official symbol, also known as emblem, floral emblem, official emblem, official tartan, state tartan (wd:P2238 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): official symbol of an organisation
6. nickname, also known as informal name, sobriquet, moniker, other name, othername (wd:P1449 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): informal name (for a pseudonym use P742), subproperty of name
7. official website, also known as site (official), site official, URL, URL (official), URL official (wd:P856 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, subproperty of URL
8. anthem, also known as official song, team anthem, official hymn, march, club anthem (wd:P85 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): subject's official anthem
9. courtesy name, also known as courtesy name, style name, zi (wd:P1782 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): name bestowed upon a person at adulthood in addition to one's given name, mostly in East Asia, subproperty of name
10. given name, also known as proper name, first name, personal name, name, middle name (wd:P735 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): first name or another given name of this person; values used with the property should not link disambiguations nor family names, subproperty of name

[Assistant] We have potential properties: P1448 (official name), P1477 (birth name?) Wait birth name is P1477 or P1477 is maybe "birth name"? Let's search for birth name and native name.

[Tool]
Top 10 property alternatives:
1. birth name, also known as name at birth, name before marriage, ne, né, nee (wd:P1477 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): full name of a person at birth, if different from their current, generally used name, subproperty of name
2. author given names, also known as given names, given name, first name, author first names, author first name (wd:P9687 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): qualifier for string representation of given or secondary sortin...presented in a bibliographic reference file (for example BibTeX), subproperty of given name
3. given name, also known as proper name, first name, personal name, name, middle name (wd:P735 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): first name or another given name of this person; values used with the property should not link disambiguations nor family names, subproperty of name
4. pseudonym, also known as nom de plume, stage name, nom-de-plume, nome de guerre, pen name (wd:P742 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): alias used by someone (for nickname use P1449), subproperty of name
5. official name, also known as long name, long title, name, official title, registered name (wd:P1448 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): official name of the subject in its official language(s), subproperty of name
6. self-identified name, also known as internal name, endonym, own name (wd:P12089 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): name by which a group of humans refers to itself (endonym)
7. place of birth, also known as location born, POB, location of birth, born in, born at (wd:P19 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): most specific known birth location of a person, animal or fictional character, subproperty of location
8. date of birth, also known as year of birth, DOB, born on, birthyear, born (wd:P569 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): date on which the subject was born, subproperty of inception
9. professional name (wd:P2838 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): name passed down by generation assumed by a master of a traditional Japanese art or sport such as kabuki or sumo
10. birthday, also known as birth day, b-day, bday (wd:P3150 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., subproperty of date of birth

[Tool]
Top 10 property alternatives:
1. name in native language, also known as native name (wd:P1559 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): name of a person in their native language, subproperty of name
2. Native Land language ID, also known as Native-Land.ca language ID (wd:P9717 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for language entry on the Native Land interactive map
3. Native Land territory ID, also known as Native-Land.ca territory ID, Native Land territory identifier, Native-Land.ca territory identifier (wd:P9716 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for territorial entry on the Native Land interactive map
4. ancestral home, also known as ancestral land, native village, native place, ancestral village, ancestral place (wd:P66 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): place of origin for ancestors of subject, subproperty of significant place
5. endemic to, also known as endemic in, native in, native to (wd:P183 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): sole location or habitat type where the taxon lives
6. native label, also known as official name, original title, official title, original label, original language label (wd:P1705 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): label for the items in their official language  or their original language, subproperty of name
7. uses property, also known as property used, property Wikidata used, selfie property, discusses property, discusses Wikidata property (wd:P3176 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): Wikidata property used, discussed, or otherwise analyzed in this work (not the meaning of the property itself), subproperty of uses
8. properties for this type, also known as has property, properties for this class, property for this class, property for this type, suggested properties for this instance (wd:P1963 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): when this subject is used as object of “instance of”, the following properties normally apply
9. property, also known as allowed qualifier (wd:P2306 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): qualifier to define a property constraint in combination with P2...traint), or to limit the scope of Q44292881 (wikidata statement)
10. Wikidata property, also known as has property, main property, property, property for this item (wd:P1687 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): main Wikidata property for this item

[Assistant] I'll run two checks: (1) count all humans who held the position President of the United States (P39 wd:Q11696), and (2) count how many of those have at least one of the properties P1448, P1477, or P1559. This will tell us whether using only those properties covers all presidents. I'll execute a SPARQL query to get both counts.

[Tool]
Got 1 row and 2 columns:
| total        | withNameCount |
| ------------ | ------------- |
| 92 (xsd:int) | 49 (xsd:int)  |

[Assistant] I'll re-run the counts using DISTINCT to get accurate numbers of distinct individuals who held the position and how many have at least one of the name properties.

[Tool]
Got 1 row and 2 columns:
| total        | withNameCount |
| ------------ | ------------- |
| 63 (xsd:int) | 49 (xsd:int)  |

[Assistant] I'll run a SPARQL query that selects all items that held the office (wdt:P39 wd:Q11696) and picks a single name per person using the preference order: official name (P1448), birth name (P1477), name in native language (P1559). I will add an English rdfs:label as a fallback so every president gets a name if none of the three properties is present. Then I'll bind the chosen name with COALESCE and return the president item and the chosen name. Now I'll execute that query.

[Tool]
Got 63 rows and 2 columns, showing the first 5 and last 5 rows below:
| president                        | chosenName                               |
| -------------------------------- | ---------------------------------------- |
| Phil Baker (wd:Q107054330)       | Phil Baker (en)                          |
| Bill Clinton (wd:Q1124)          | William Jefferson Blythe III (en)        |
| Quentin Trembley (wd:Q113227667) | Sir Lord Quentin Trembley III, Esq. (en) |
| Harry S. Truman (wd:Q11613)      | Harry S. Truman (en)                     |
| John Adams (wd:Q11806)           | John Adams (en)                          |
| ...                              | ...                                      |
| Olivia Marsdin (wd:Q96181216)    | Olivia Marsdin (en)                      |
| Lyndon B. Johnson (wd:Q9640)     | Lyndon Baines Johnson (en)               |
| John F. Kennedy (wd:Q9696)       | John Fitzgerald Kennedy (mul)            |
| Dwight D. Eisenhower (wd:Q9916)  | David Dwight Eisenhower (en)             |
| Ronald Reagan (wd:Q9960)         | Ronald Wilson Reagan (en)                |

[Assistant] I'll run a refined SPARQL query that: selects items with position held = President of the United States (wdt:P39 wd:Q11696), restricts to humans (wdt:P31 wd:Q5) to exclude fictional or non-human entries, and chooses one name per president using the preference order official name (P1448), birth name (P1477), then name in native language (P1559), with English rdfs:label as a fallback. I'll execute that query now.

[Tool]
Got 45 rows and 2 columns, showing the first 5 and last 5 rows below:
| president                       | chosenName                        |
| ------------------------------- | --------------------------------- |
| Bill Clinton (wd:Q1124)         | William Jefferson Blythe III (en) |
| Harry S. Truman (wd:Q11613)     | Harry S. Truman (en)              |
| John Adams (wd:Q11806)          | John Adams (en)                   |
| Thomas Jefferson (wd:Q11812)    | Thomas Jefferson (en)             |
| James Madison (wd:Q11813)       | James Madison, Jr. (en)           |
| ...                             | ...                               |
| Richard Nixon (wd:Q9588)        | Richard Milhous Nixon (en)        |
| Lyndon B. Johnson (wd:Q9640)    | Lyndon Baines Johnson (en)        |
| John F. Kennedy (wd:Q9696)      | John Fitzgerald Kennedy (mul)     |
| Dwight D. Eisenhower (wd:Q9916) | David Dwight Eisenhower (en)      |
| Ronald Reagan (wd:Q9960)        | Ronald Wilson Reagan (en)         |

[Assistant] I'll count the distinct human individuals (wd:Q5) who held the office President of the United States (P39 Q11696) to know how many results to expect and ensure the query covers all human presidents. I'll run a COUNT query.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 45 (xsd:int) |

[Assistant] I have 45 human presidents in Wikidata. The earlier total 63 included non-humans or fictional entries. Now I will prepare the final SPARQL query to return each president's item and the single chosen name per the requested preference order (official name P1448, birth name P1477, name in native language P1559), and ensure we include only human presidents. I will also include the English label as fallback but keep it optional. I'll run the final query to verify results.

[Tool]
Got 45 rows and 2 columns, showing the first 5 and last 5 rows below:
| president                       | chosenName                        |
| ------------------------------- | --------------------------------- |
| Bill Clinton (wd:Q1124)         | William Jefferson Blythe III (en) |
| Harry S. Truman (wd:Q11613)     | Harry S. Truman (en)              |
| John Adams (wd:Q11806)          | John Adams (en)                   |
| Thomas Jefferson (wd:Q11812)    | Thomas Jefferson (en)             |
| James Madison (wd:Q11813)       | James Madison, Jr. (en)           |
| ...                             | ...                               |
| Richard Nixon (wd:Q9588)        | Richard Milhous Nixon (en)        |
| Lyndon B. Johnson (wd:Q9640)    | Lyndon Baines Johnson (en)        |
| John F. Kennedy (wd:Q9696)      | John Fitzgerald Kennedy (mul)     |
| Dwight D. Eisenhower (wd:Q9916) | David Dwight Eisenhower (en)      |
| Ronald Reagan (wd:Q9960)        | Ronald Wilson Reagan (en)         |

[Assistant] Now I'll finalize by returning the SPARQL query and the answer summary. The query returns each president item and the chosen name as required.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?person ?personLabel ?placeOfBirth ?placeOfBirthLabel ?placeOfDeath ?placeOfDeathLabel WHERE {
  ?person wdt:P31 wd:Q5 ; wdt:P19 ?placeOfBirth ; wdt:P20 ?placeOfDeath .
  ?placeOfBirth ( wdt:P131 ) * wd:Q81802 .
  ?placeOfDeath wdt:P31 ?deathType .
  ?deathType ( wdt:P279 ) * wd:Q328468 .
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel FILTER ( LANG( ?placeOfBirthLabel ) = "en" )
  }
  OPTIONAL {
    ?placeOfDeath rdfs:label ?placeOfDeathLabel FILTER ( LANG( ?placeOfDeathLabel ) = "en" )
  }
}
ORDER BY ?personLabel

Got 137 rows and 6 columns, showing the first 5 and last 5 rows below:
| person                                      | personLabel                      | placeOfBirth                       | placeOfBirthLabel         | placeOfDeath                               | placeOfDeathLabel                  |
| ------------------------------------------- | -------------------------------- | ---------------------------------- | ------------------------- | ------------------------------------------ | ---------------------------------- |
| Alfonso Ponce Alarcón (wd:Q107621140)       | Alfonso Ponce Alarcón (en)       | Cuevas del Almanzora (wd:Q1048762) | Cuevas del Almanzora (en) | Mauthausen concentration camp (wd:Q160139) | Mauthausen concentration camp (en) |
| Alonso Giménez Mellado (wd:Q107621163)      | Alonso Giménez Mellado (en)      | Huércal-Overa (wd:Q1372614)        | Huércal-Overa (en)        | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Andrés Marín Morales (wd:Q107621083)        | Andrés Marín Morales (en)        | Almería (wd:Q10400)                | Almería (en)              | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Antonio Balastegui Caparrós (wd:Q107621212) | Antonio Balastegui Caparrós (en) | Tabernas (wd:Q1444062)             | Tabernas (en)             | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Antonio Campos Padilla (wd:Q107621113)      | Antonio Campos Padilla (en)      | Berja (wd:Q491929)                 | Berja (en)                | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| ...                                         | ...                              | ...                                | ...                       | ...                                        | ...                                |
| Serafín Giménez Pinero (wd:Q107621186)      | Serafín Giménez Pinero (en)      | Olula del Río (wd:Q1358205)        | Olula del Río (en)        | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Serafín Maldonado Tenorio (wd:Q107621155)   | Serafín Maldonado Tenorio (en)   | Dalías (wd:Q1110389)               | Dalías (en)               | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Serafín Morales Molina (wd:Q107621222)      | Serafín Morales Molina (en)      | Uleila del Campo (wd:Q1447729)     | Uleila del Campo (en)     | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Serafín Nieto Nieto (wd:Q107621215)         | Serafín Nieto Nieto (en)         | Terque (wd:Q1611807)               | Terque (en)               | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Victoria Salas Gacares (wd:Q107620783)      | Victoria Salas Gacares (en)      | Vera (wd:Q1157971)                 | Vera (en)                 | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |

I searched Wikidata and found 137 distinct human individuals satisfying: (1) place of birth is in Almería Province (wd:Q81802), and (2) place of death is a Nazi concentration camp (instance/subclass of wd:Q328468). Below I explain the steps I took and give the final SPARQL query (above) that returns the identifiers and optional English labels for those individuals.

Summary of steps and results (with explanations before and after each query call):

1) Look up Almería Province
- Before: I searched for the Wikidata item corresponding to "Almería Province" to get its identifier.
- Call: search_entity(kg="wikidata", query="Almería Province")
- After: Found Almería Province = wd:Q81802.

2) Look up "Nazi concentration camp"
- Before: I searched for the Wikidata item for "Nazi concentration camp" to get its identifier.
- Call: search_entity(kg="wikidata", query="Nazi concentration camp")
- After: Found Nazi concentration camp = wd:Q328468.

3) Confirmed relevant properties
- Before: I checked which property is used for place of birth.
- Call: search_property(kg="wikidata", query="place of birth")
- After: Confirmed place of birth = P19; place of death = P20; instance of = P31; subclass of = P279.

4) Run an initial sample query to find people born in Almería Province who died in a Nazi camp
- Before: I ran a SELECT to sample matching people using a simple pattern (P19 in administrative chain to Q81802, P20 whose P31 is Q328468).
- Call: execute(initial SELECT...) — this returned sample rows (137 rows total were returned by that query). Example rows included:
  - Juan Martínez Moreno (wd:Q107621161), born in Gérgal, died in Steyr-Münichholz concentration camp (wd:Q1145467)
  - Antonio López Vicente (wd:Q107621086), born in Almería (wd:Q10400), died in Steyr-Münichholz concentration camp (wd:Q1145467)
  - Francisco García Viciana (wd:Q107621090), born in Almería (wd:Q10400), died in Dachau (wd:Q151198)
  - ... (the query returned 137 rows in total)
- After: The sample confirmed the expected data pattern and that there are many matching persons.

5) Run a refined final query (executed)
- Before: I executed the final SPARQL query (the one included above) that: (a) requires ?person wdt:P19 ?placeOfBirth with ?placeOfBirth (wdt:P131)* wd:Q81802 to ensure birth place is in Almería Province, and (b) requires ?placeOfDeath wdt:P31 ?deathType with ?deathType (wdt:P279)* wd:Q328468 to include direct instances or instances of subclasses of Nazi concentration camps. The query requests distinct ?person and their labels (optional English labels) and the birth/death place IRIs and labels.
- Call: execute(final SELECT...) — this returned 137 rows and the query (shown above) is the final query I used.
- After: The query returns the 137 distinct individuals (their Wikidata IRIs are in the ?person column). Sample results (first few by label order) include:
  - Alfonso Ponce Alarcón (wd:Q107621140), born in Cuevas del Almanzora, died in Mauthausen (wd:Q160139)
  - Alonso Giménez Mellado (wd:Q107621163), born in Huércal-Overa, died in Gusen (wd:Q681748)
  - Andrés Marín Morales (wd:Q107621083), born in Almería, died in Gusen (wd:Q681748)
  - Antonio Balastegui Caparrós (wd:Q107621212), born in Tabernas, died in Gusen (wd:Q681748)
  - Antonio Campos Padilla (wd:Q107621113), born in Berja, died in Gusen (wd:Q681748)
  - ... (the full result set contains 137 distinct ?person IRIs)

If you want the full list of all 137 individuals (their Wikidata IRIs and English labels), I can paste them here or provide them as CSV/JSON. The canonical way to retrieve them is to run the SPARQL query I provided (it returns the identifiers as required).

Final SPARQL query (again):

SELECT DISTINCT ?person ?personLabel ?placeOfBirth ?placeOfBirthLabel ?placeOfDeath ?placeOfDeathLabel WHERE {
  ?person wdt:P31 wd:Q5;            # human
          wdt:P19 ?placeOfBirth;    # place of birth
          wdt:P20 ?placeOfDeath.    # place of death

  # birth place is in Almería Province (administrative chain)
  ?placeOfBirth (wdt:P131)* wd:Q81802.

  # place of death is instance of a type that is (subclass of)* Nazi concentration camp
  ?placeOfDeath wdt:P31 ?deathType.
  ?deathType (wdt:P279)* wd:Q328468.

  OPTIONAL { ?person rdfs:label ?personLabel FILTER(LANG(?personLabel) = "en") }
  OPTIONAL { ?placeOfBirth rdfs:label ?placeOfBirthLabel FILTER(LANG(?placeOfBirthLabel) = "en") }
  OPTIONAL { ?placeOfDeath rdfs:label ?placeOfDeathLabel FILTER(LANG(?placeOfDeathLabel) = "en") }
}
ORDER BY ?personLabel

Let me know if you want me to return the full list of 137 names and their Wikidata IRIs here.

Who are the distinct individuals who were born in Almería Province and died in a Nazi concentration camp?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who are the distinct individuals who were born in Almería Province and died in a Nazi concentration camp?

[Assistant] Step 1: I'll search for the Almería Province entity and for the item representing "Nazi concentration camp". Then I'll search for people born in that province who died in places that are instances of Nazi concentration camp. I'll run queries step by step and explain results.

[Tool]
Top 10 entity alternatives:
1. Almería Province, also known as Almeria Province, Province of Almería, Province of Almeria (wd:Q81802): instance of province of Spain, province of Andalusia, Spain
2. cuisine of the province of Almería, also known as province of Almería food, province of Almería cuisine, food of the province of Almería, food in the province of Almería, cuisine in the province of Almería (wd:Q5876017): instance of aspect in a geographic region, instance of cuisine
3. Province Court of Almería, also known as Audiencia Provincial of Almería, Audiencia Provincial de Almería (wd:Q24941310): instance of province court of Spain
4. Flags of the province of Almería (wd:Q81441831): instance of flag
5. Pottery in the province of Almería (wd:Q5666574): instance of pottery ware
6. Day of the province of Almeria (wd:Q5815800): instance of holiday
7. culture of the province of Almería (wd:Q121157676): overview of culture in the province of Almería, instance of culture of an area
8. history of the province of Almería (wd:Q123361305): instance of aspect of history
9. Spanish Civil War in the Almería province (wd:Q71482941): instance of aspect in a geographic region
10. province, also known as provinces (wd:Q34876)

[Assistant] Now I'll search for the Wikidata item for "Nazi concentration camp" and check its identifier.

[Tool]
Top 10 entity alternatives:
1. Nazi concentration camp, also known as Nazi German concentration camp (wd:Q328468)
2. Nazi concentration camp badge (wd:Q15631700)
3. Nazi Concentration Camps (wd:Q1561119): 1945 film by George Stevens, instance of film
4. Nazi concentration camp commandant, also known as camp commandant (wd:Q1719327): chief commanding position within the SS service of a Nazi concentration camp, instance of organization, instance of profession, instance of position
5. Nazi concentration camp barracks, also known as block (wd:Q1520659)
6. camp dentist, also known as Nazi Concentration Camp dentist (wd:Q85515749): medical personnel in Nazi concentration camps, instance of human, physician, dentist
7. concentration camp guard, also known as camp guard, Nazi concentration camp guard, concentration camp overseer (wd:Q28789517)
8. pharmacist in Nazi concentration camp, also known as Nazi concentration camp pharmacist (wd:Q85515966): pharmacist in Nazi concentration camps, instance of pharmacist
9. Nazi concentration camp in Płaszów (wd:Q30161821)
10. Nazi concentration camps in Norway (wd:Q6983402)

[Assistant] I'll search for people with place of birth in Almería Province to see sample items and verify property usage. I'll search for entities born in towns within Almería Province by searching for people with "born in Almería" as text.

[Tool]
Top 10 property alternatives:
1. place of birth, also known as location born, POB, location of birth, born in, born at (wd:P19 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): most specific known birth location of a person, animal or fictional character, subproperty of location
2. date of birth, also known as year of birth, DOB, born on, birthyear, born (wd:P569 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): date on which the subject was born, subproperty of inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the object is a country that recognizes the subject as its citizen, subproperty of country
4. birthday, also known as birth day, b-day, bday (wd:P3150 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., subproperty of date of birth
5. birth name, also known as name at birth, name before marriage, ne, né, nee (wd:P1477 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): full name of a person at birth, if different from their current, generally used name, subproperty of name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): category item that groups people born in this place, subproperty of related category
7. valid in place, also known as country, valid in territory, valid in location, true in, applies to place (wd:P3005 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): place where a statement is valid, subproperty of applies to part
8. country of origin, also known as comes from, place of origin, origin country, originates from, country (wd:P495 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): country of origin of this item (creative work, food, phrase, product, etc.), subproperty of significant place, subproperty of country
9. country, also known as state, sovereign state, land, host country (wd:P17 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): sovereign state that this item is in (not to be used for human beings), subproperty of located in the administrative territorial entity
10. commemorates, also known as anniversary of, monument to, memorial to, memorializes, marks (wd:P547 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): what the place, monument, memorial, or holiday, commemorates, subproperty of main subject

[Assistant] I'll construct a SPARQL query to find humans with place of birth located in Almería Province (wd:Q81802) and with place of death that is an instance of Nazi concentration camp (wd:Q328468). I'll verify that property P20 (place of death) is used, and that "instance of" property is P31. I'll run an initial query to find such people.

[Tool]
Got 137 rows and 6 columns, showing the first 5 and last 5 rows below:
| person                                    | personLabel                    | pob                            | pobLabel              | pod                                               | podLabel                                 |
| ----------------------------------------- | ------------------------------ | ------------------------------ | --------------------- | ------------------------------------------------- | ---------------------------------------- |
| Juan Martínez Moreno (wd:Q107621161)      | Juan Martínez Moreno (en)      | Gérgal (wd:Q1358171)           | Gérgal (en)           | Steyr-Münichholz concentration camp (wd:Q1145467) | Steyr-Münichholz concentration camp (en) |
| Antonio López Vicente (wd:Q107621086)     | Antonio López Vicente (en)     | Almería (wd:Q10400)            | Almería (en)          | Steyr-Münichholz concentration camp (wd:Q1145467) | Steyr-Münichholz concentration camp (en) |
| Francisco García Viciana (wd:Q107621090)  | Francisco García Viciana (en)  | Almería (wd:Q10400)            | Almería (en)          | Dachau concentration camp (wd:Q151198)            | Dachau concentration camp (en)           |
| Juan Céspedes Fernández (wd:Q107621097)   | Juan Céspedes Fernández (en)   | Almería (wd:Q10400)            | Almería (en)          | Dachau concentration camp (wd:Q151198)            | Dachau concentration camp (en)           |
| Ricardo Peña Peña (wd:Q107621221)         | Ricardo Peña Peña (en)         | Uleila del Campo (wd:Q1447729) | Uleila del Campo (en) | Mauthausen concentration camp (wd:Q160139)        | Mauthausen concentration camp (en)       |
| ...                                       | ...                            | ...                            | ...                   | ...                                               | ...                                      |
| José Lap Canabete (wd:Q107621065)         | José Lap Canabete (en)         | Abrucena (wd:Q1110408)         | Abrucena (en)         | Gusen concentration camp (wd:Q681748)             | Gusen concentration camp (en)            |
| Cristóbal García Flores (wd:Q107621236)   | Cristóbal García Flores (en)   | Vícar (wd:Q1110397)            | Vícar (en)            | Gusen concentration camp (wd:Q681748)             | Gusen concentration camp (en)            |
| Serafín Maldonado Tenorio (wd:Q107621155) | Serafín Maldonado Tenorio (en) | Dalías (wd:Q1110389)           | Dalías (en)           | Gusen concentration camp (wd:Q681748)             | Gusen concentration camp (en)            |
| José Ruiz Giménez (wd:Q107621153)         | José Ruiz Giménez (en)         | Dalías (wd:Q1110389)           | Dalías (en)           | Gusen concentration camp (wd:Q681748)             | Gusen concentration camp (en)            |
| Francisco Gómez Villegas (wd:Q107621152)  | Francisco Gómez Villegas (en)  | Dalías (wd:Q1110389)           | Dalías (en)           | Gusen concentration camp (wd:Q681748)             | Gusen concentration camp (en)            |

[Assistant] I'll run a final SPARQL query that finds distinct humans (wd:Q5) whose place of birth is located in Almería Province (wd:Q81802) and whose place of death is an instance (or subclass instance) of Nazi concentration camp (wd:Q328468). I'll request labels as optional English labels. Now I'll execute that query.

[Tool]
Got 137 rows and 6 columns, showing the first 5 and last 5 rows below:
| person                                      | personLabel                      | placeOfBirth                       | placeOfBirthLabel         | placeOfDeath                               | placeOfDeathLabel                  |
| ------------------------------------------- | -------------------------------- | ---------------------------------- | ------------------------- | ------------------------------------------ | ---------------------------------- |
| Alfonso Ponce Alarcón (wd:Q107621140)       | Alfonso Ponce Alarcón (en)       | Cuevas del Almanzora (wd:Q1048762) | Cuevas del Almanzora (en) | Mauthausen concentration camp (wd:Q160139) | Mauthausen concentration camp (en) |
| Alonso Giménez Mellado (wd:Q107621163)      | Alonso Giménez Mellado (en)      | Huércal-Overa (wd:Q1372614)        | Huércal-Overa (en)        | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Andrés Marín Morales (wd:Q107621083)        | Andrés Marín Morales (en)        | Almería (wd:Q10400)                | Almería (en)              | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Antonio Balastegui Caparrós (wd:Q107621212) | Antonio Balastegui Caparrós (en) | Tabernas (wd:Q1444062)             | Tabernas (en)             | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Antonio Campos Padilla (wd:Q107621113)      | Antonio Campos Padilla (en)      | Berja (wd:Q491929)                 | Berja (en)                | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| ...                                         | ...                              | ...                                | ...                       | ...                                        | ...                                |
| Serafín Giménez Pinero (wd:Q107621186)      | Serafín Giménez Pinero (en)      | Olula del Río (wd:Q1358205)        | Olula del Río (en)        | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Serafín Maldonado Tenorio (wd:Q107621155)   | Serafín Maldonado Tenorio (en)   | Dalías (wd:Q1110389)               | Dalías (en)               | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Serafín Morales Molina (wd:Q107621222)      | Serafín Morales Molina (en)      | Uleila del Campo (wd:Q1447729)     | Uleila del Campo (en)     | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Serafín Nieto Nieto (wd:Q107621215)         | Serafín Nieto Nieto (en)         | Terque (wd:Q1611807)               | Terque (en)               | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |
| Victoria Salas Gacares (wd:Q107620783)      | Victoria Salas Gacares (en)      | Vera (wd:Q1157971)                 | Vera (en)                 | Gusen concentration camp (wd:Q681748)      | Gusen concentration camp (en)      |

[Tool] Stopped generation process